\relax 
\citation{chu}
\citation{malik}
\citation{tsang}
\citation{wang}
\citation{kolsch}
\citation{Ulhaas}
\citation{wang}
\citation{stenger}
\@writefile{toc}{\contentsline {section}{\numberline {I}Introduction}{1}}
\@writefile{toc}{\contentsline {section}{\numberline {II}LITERATURE REVIEW}{1}}
\citation{sato}
\citation{chu}
\citation{Sanghi}
\citation{malik}
\citation{Sigurdsson}
\citation{choi}
\citation{kolsch}
\citation{ong}
\@writefile{lof}{\contentsline {figure}{\numberline {1}{\ignorespaces Flow diagram of the proposed algorithm\relax }}{2}}
\providecommand*\caption@xref[2]{\@setref\relax\@undefined{#1}}
\newlabel{fig_flow}{{1}{2}}
\@writefile{toc}{\contentsline {section}{\numberline {III}THE PROPOSED METHOD}{2}}
\@writefile{toc}{\contentsline {subsection}{\numberline {\unhbox \voidb@x \hbox {III-A}}Hand detection}{2}}
\@writefile{lof}{\contentsline {figure}{\numberline {2}{\ignorespaces Different Skin Tones of users in RGB and YCbCr color space respectively\relax }}{3}}
\newlabel{fig_tone}{{2}{3}}
\newlabel{eq_skin}{{1}{3}}
\@writefile{lof}{\contentsline {figure}{\numberline {3}{\ignorespaces Input flow of Shape Identification\relax }}{3}}
\newlabel{fig_shape_flow}{{3}{3}}
\newlabel{eq_bg}{{2}{3}}
\newlabel{eq_mot}{{3}{3}}
\@writefile{lof}{\contentsline {figure}{\numberline {4}{\ignorespaces Hand shape template used for shape matching. Blue color is the background. Red color is the area of foreground with higher weights and green color is the area of the foreground with lesser weights.\relax }}{4}}
\newlabel{fig_template}{{4}{4}}
\newlabel{eq_shape}{{5}{4}}
\@writefile{toc}{\contentsline {subsection}{\numberline {\unhbox \voidb@x \hbox {III-B}}Hand Tracking}{4}}
\@writefile{toc}{\contentsline {subsection}{\numberline {\unhbox \voidb@x \hbox {III-C}}Gesture Recognition}{4}}
\@writefile{lof}{\contentsline {figure}{\numberline {5}{\ignorespaces Different gestures used for simulating different mouse operation.\relax }}{4}}
\@writefile{lof}{\contentsline {subfigure}{\numberline{(a)}{\ignorespaces {left click}}}{4}}
\@writefile{lof}{\contentsline {subfigure}{\numberline{(b)}{\ignorespaces {right click}}}{4}}
\@writefile{lof}{\contentsline {subfigure}{\numberline{(c)}{\ignorespaces {scroll}}}{4}}
\newlabel{fig_ges}{{5}{4}}
\@writefile{lof}{\contentsline {figure}{\numberline {6}{\ignorespaces Sample training data of thumb up and thumb down used for gesture recognition.\relax }}{5}}
\newlabel{fig_train_1}{{6}{5}}
\@writefile{lof}{\contentsline {figure}{\numberline {7}{\ignorespaces Sample training data used for differentiating click and scroll operation\relax }}{5}}
\newlabel{fig_train_2}{{7}{5}}
\@writefile{lof}{\contentsline {figure}{\numberline {8}{\ignorespaces State machine\relax }}{5}}
\newlabel{fig_state}{{8}{5}}
\@writefile{toc}{\contentsline {subsubsection}{\numberline {\unhbox \voidb@x \hbox {III-C}1}Left Clicking}{5}}
\@writefile{toc}{\contentsline {subsubsection}{\numberline {\unhbox \voidb@x \hbox {III-C}2}Right Clicking}{5}}
\@writefile{toc}{\contentsline {subsubsection}{\numberline {\unhbox \voidb@x \hbox {III-C}3}Scrolling}{5}}
\@writefile{toc}{\contentsline {section}{\numberline {IV}Results}{5}}
\@writefile{toc}{\contentsline {subsection}{\numberline {\unhbox \voidb@x \hbox {IV-A}}Hand detection}{5}}
\@writefile{toc}{\contentsline {subsection}{\numberline {\unhbox \voidb@x \hbox {IV-B}}Skin tone}{5}}
\@writefile{lof}{\contentsline {figure}{\numberline {9}{\ignorespaces Result of skin Segmentation\relax }}{6}}
\newlabel{fig_skin}{{9}{6}}
\@writefile{lof}{\contentsline {figure}{\numberline {10}{\ignorespaces Result of Motion detection\relax }}{6}}
\newlabel{fig_mot}{{10}{6}}
\@writefile{lof}{\contentsline {figure}{\numberline {11}{\ignorespaces Result of shape detection\relax }}{6}}
\newlabel{fig_shape}{{11}{6}}
\@writefile{toc}{\contentsline {subsection}{\numberline {\unhbox \voidb@x \hbox {IV-C}}Illumination Variations}{6}}
\@writefile{toc}{\contentsline {subsection}{\numberline {\unhbox \voidb@x \hbox {IV-D}}Occlusion Detection}{6}}
\@writefile{lof}{\contentsline {figure}{\numberline {13}{\ignorespaces Sample result showing performance in different Illumination condition. First column is the input image, second column is the result from motion detection and third column is the output image\relax }}{6}}
\newlabel{fig_res_ill}{{13}{6}}
\@writefile{lof}{\contentsline {figure}{\numberline {14}{\ignorespaces Sample result showing performance against occlusion. Clockwise: (a) Output image where red star marks the point of maxima in shape detection. (b) Output of skin segmentation. (c) Output of the shape identification (d) Output of the motion detection\relax }}{6}}
\newlabel{fig_res_occ}{{14}{6}}
\@writefile{toc}{\contentsline {subsection}{\numberline {\unhbox \voidb@x \hbox {IV-E}}False Case}{6}}
\@writefile{toc}{\contentsline {subsection}{\numberline {\unhbox \voidb@x \hbox {IV-F}}Gesture Recognition}{6}}
\@writefile{lof}{\contentsline {figure}{\numberline {12}{\ignorespaces Sample result showing performance on different skin tone. First row is the input image, second row is the output from the skin segmentation, third row is the output from the motion detection, fourth row is the output of the shape identification. Last row shows the output image where detected finger is marked by green rectangle\relax }}{7}}
\newlabel{fig_res_tone}{{12}{7}}
\@writefile{toc}{\contentsline {section}{\numberline {V}Conclusion}{7}}
\bibstyle{IEEEtran}
\bibdata{bare_conf}
\bibcite{chu}{1}
\bibcite{malik}{2}
\bibcite{tsang}{3}
\bibcite{wang}{4}
\bibcite{kolsch}{5}
\bibcite{Ulhaas}{6}
\bibcite{stenger}{7}
\bibcite{sato}{8}
\bibcite{Sanghi}{9}
\bibcite{Sigurdsson}{10}
\bibcite{choi}{11}
\bibcite{Zeng}{12}
\bibcite{ong}{13}
\@writefile{lof}{\contentsline {figure}{\numberline {15}{\ignorespaces Sample result showing wrong hand detection\relax }}{8}}
\newlabel{fig_res_false}{{15}{8}}
\@writefile{toc}{\contentsline {section}{References}{8}}
